Senior Data Scientist

Your responsibilities will include: Developing predictive models with large and varied datasets, working with a community of colleagues across Advanced Analytics, technology, and data and customer functions Development of machine learning models for various areas of the business on the Big Data Platforms Work with lead and principal data scientists to deliver key strategic initiatives to meet the needs of business customers Works in partnership with Big Data Engineering team to automate, integrate & productionize AI workloads. Work in partnership business decision support team to provide Big Data insights A minimum of 4-6 years relevant experience in Big Data & Data Science. Experience working with and mentoring/coaching data scientists in training Experience in data manipulation: use of structured data tools (e.g., SQL), and unstructured data platforms (e.g. PySpark, NoSQL) Proficiency in at least one relevant programming language: Python, R, Java Experience across major machine learning model frameworks (e.g. H2O, scikit-learn, PyTorch, Tensorflow) and techniques (e.g. random forest, gradient boosting, k-means segmentation, multiple regression, factor analysis, time-series forecasting) Exposure to cloud native deployment of models and working with containerized technologies such as Docker and Kurbernetees. Knowledge of MLOps and LLMOps concepts and deployment of models through batch and real-time architectures. Professional and/or academic experience in Big Data analytics & deployment of models and algorithms to solve real-world problems (with deep statistical and machine learning modelling expertise) Familiarity with visualization tools (e.g. Tableau, Qlik, D3, Apache Superset, Plotly, PowerBI, Opensearch, Grafana) Good interpersonal communication and presentation skills Ability to work in a fast-paced environment Analytical and expansive thinking with a strong desire to deliver and develop. Experience working with teams and coaching data scientists Design & Systems Thinking in relation to AI and Machine Learning Eco Systems. Real-time Decisioning & Intelligence use case deployment and evaluation experience.